Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T175325233B600DC298DAB56CCF6C09648415ED345FB3148CAA6A491FF7BC5DF069A93AC |
|
CONTENT
ssdeep
|
192:Ts3JoYc6bcIcNG/2dSazIafaxCS+McnthWeNWbQtYA2Y1xrfMmUU8VCok2:ccacIcNi2QLISCtYpYDrfMmUFCok2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9ee3c91ce307fc01 |
|
VISUAL
aHash
|
3f3f1f270f9f1f7f |
|
VISUAL
dHash
|
6868f0cc2c2068c0 |
|
VISUAL
wHash
|
1f070707071f1f1f |
|
VISUAL
colorHash
|
07001400048 |
|
VISUAL
cropResistant
|
6868f0cc2c2068c0,1113151113a2c67d |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 10 techniques to evade detection by security scanners and make reverse engineering more difficult.